Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
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UI/UX and frontend design best practices guidelines (formerly frontend-design). This skill should be used when writing, reviewing, or designing frontend code to ensure accessibility, performance, and usability. Triggers on tasks involving HTML structure, CSS styling, responsive layouts, form design, animations, or accessibility improvements.
Produce media assets using AnyCap: generate images, videos, music, speech, dialogue, and complete audio scenes from text or reference inputs, refine images through interactive visual annotation, and deliver finished assets. Covers the full production workflow from concept to delivery across all media types (image, video, music, audio). Use when creating images, videos, music, voice content, dialogue, complete audio scenes, or any visual/audio content -- including iterative refinement with human feedback. Also use for image-to-image transformation, video generation from images, audio generation from references, and annotation-driven precise edits. Trigger on: media production, asset generation, generate image/video/music/audio, create visual content, produce assets, iterative image editing, annotate and refine, creative workflow, content creation, or any task requiring AI-generated media output.
Generate high-quality images from text prompts using Volcano Engine Seedream models. Supports multiple artistic styles and aspect ratios. Use this skill when users want to create images from text descriptions, generate artwork in various styles, create visual content for creative projects, or need AI-powered image generation capabilities
从 Markdown 文件导入创建飞书文档。支持嵌套列表、Mermaid/PlantUML 图表自动转画板、大表格智能处理（超过 9 行用 insert_table_row API 追加保持单 block，超过 9 列拆分保留首列）、公式、Callout 高亮块。内置飞书侧渲染规范（`references/doc-guide.md` + `references/mermaid-spec.md`），覆盖图表花括号/par 等语法限制、表格 9 行/列阈值、Callout 6 种颜色映射等飞书兼容性规则。当用户请求"导入 Markdown"、"从 md 创建文档"、"从 md 文件创建文档"、"把 Markdown 转换到飞书"、"上传 Markdown"、"Markdown 转飞书"、"md 导入"、"批量导入"，或排查"飞书 Mermaid 渲染失败"、"Callout 颜色不对"、"飞书表格被拆"、"飞书文档导入兼容性"等问题时使用。注意：仅支持 Markdown 源文件导入为飞书文档。Markdown 表格创建电子表格请用 feishu-cli-toolkit 的 `sheet import-md`；DOCX/XLSX 导入为云文档请使用 feishu-cli-drive 的 drive import。
Official Framer Motion skill for animation variants — state machines, orchestrated animations, stagger, repeat, sequencing. Use when building orchestrated animations, animation state machines, staggered entrances, or when asking about Framer Motion variants, transition variants, or choreographed animations.
Comprehensive guidance for integrating Jupiter APIs (Swap, Lend, Perps, Trigger, Recurring, Tokens, Price, Portfolio, Prediction Markets, Send, Studio, Lock, Routing). Use for endpoint selection, integration flows, error handling, and production hardening.
Hand a cut built from the user's own footage to a professional editor as an FCPXML, XML or EDL that references the original files, for finishing in Adobe Premiere Pro, Final Cut Pro or DaVinci Resolve. Uses Reelary (local, Mac or Windows). Trigger on "export to Premiere", "export to Final Cut", "send to DaVinci Resolve", "FCPXML", "EDL", "XML timeline", "roundtrip to my NLE", "AI rough cut then finish in Resolve". Not for converting existing NLE projects between formats.
Expert-level real estate systems, property management, MLS integration, CRM, virtual tours and market analysis. Use when the user mentions property, MLS, CRM, proptech or listings, or when the task involves real estate systems, PropTech solutions, standards and regulations, or listing management.
Analyze Sentry session replays to surface UX patterns, pain points, and user journeys for a given product area. Use when asked to "show me how users use", "day in the life", "UX research", "replay research", "how do customers use", "what's the user experience like for", "watch replays of", "analyze replays for", "user behavior on", or "replay UX audit" for any Sentry product surface.
Extracts tweets, reply threads, and engagement metrics from a specific Twitter/X profile using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a Twitter account, scrape tweets from a specific user's profile, export tweet history from a Twitter handle, get recent tweets from a Twitter account with engagement stats, fetch tweet timeline for a specific user, or collect posts from a Twitter profile by username. Returns tweet text, likes, retweets, replies, views, bookmarks, and author info per tweet. Ideal for social media monitors, journalists, and competitive intelligence teams.
This skill should be used when the user asks to "add music to the animation", "make the music in code", "synthesize a soundtrack", "compose background music that fits the cuts", "sync the music to the video", "check if the audio lines up with the picture", or "the music is too sudden / startling". Covers a code-synthesized score that lives inside the animation page (Web Audio API, rendered offline to WAV), AI-generated or user-supplied music, and an automatic check that cuts land on the beat without a startling jump in loudness
Write and lint the title and thumbnail for a YouTube video as a pair, checking for truncation, duplication, and vagueness before publishing. Use for "title ideas", "what should I call this", "thumbnail text", "my CTR is bad", packaging, or any request to rename or repackage an existing video.
Orchestrate bounded Codex, Claude Code, Agy, Kimi, or custom CLI workers to finish work with the least lead context and provider usage, following playbooks such as plan big, execute small. Use when the user asks to orchestrate, delegate, compare agents, conserve agent tokens or quota, recover a worker, report what an orchestration did and cost, or work without MCP or Python, when the user types /alethe or a short command such as "alethe report" or "alethe stop", and when they want it on from now on, at any point of a task and alongside other skills. Also use it proactively, without being asked, when a request is large enough to split into bounded independent units, such as a multi-file refactor, a migration, an audit or research across many files. Do not use for a small mechanical task unless explicitly requested
Audit and rewrite frontend UI to remove generic AI design patterns ("AI slop"), both the first-order defaults (purple gradients, Inter, a centered hero over three cards, untouched shadcn) and the second-order "tasteful AI" ones (cream with terracotta, near-black with acid green, all-caps mono chrome, one accented headline word, decorative 01/02/03). Use when asked to "de-slop a UI", "make a design look less AI-generated", "audit a page or component for AI design tells", "fix Claude/Codex-generated frontend that looks generic", or keep a multi-page site on one design system. Covers HTML/CSS and React/Tailwind/shadcn. Has a detection-only mode and a zero-dependency scanner (scripts/detect.mjs) for the code-certain tells.
This skill should be used when the user asks to "stop scope creep", "limit revision rounds", "write SOW revision language", "the client keeps asking for changes", "how do I say this is out of scope", "translate vague feedback", "client said make it pop", or "write a change-order email". It provides revision-cap contract language, a consolidated-feedback request, a vague-feedback translator, and a polite out-of-scope email.
Official integration patterns for the Mapbox Maps Flutter SDK. Covers installation, iOS/Android platform setup, access token configuration, MapWidget initialization, camera control, annotations with tap handling, user location, and loading GeoJSON. Based on official Mapbox documentation.
Create or edit a document that an agent reads, and prove that it changes behavior. Put a lesson that agents keep learning again into structure. Read this skill before you write or edit a skill, AGENTS.md, CLAUDE.md, a system prompt, or other text for agents. Use it to verify such a document before it ships. Use it also when the user corrects the same agent mistake a second time
Troubleshoot local AWS Bedrock authentication and region configuration for the Cline CLI as Dr. Bedrock. Use when users report Bedrock CLI errors, AWS profile/default-chain issues, credential_process/SSO/IAM credential failures, missing region, AccessDenied, model access, or provider config problems.
This skill should be used when the user asks "what's the config", "show me the configuration", "what variables are set", "environment config", "service config", "railway config", or wants to add/set/delete variables, change build/deploy settings, scale replicas, connect repos, or delete services.
Generate expressive, multilingual narration with fish.audio (S1 / S2-generation models) and reuse cloned voices via reference_id. Use when the user prefers fish.audio/Fish Audio TTS, wants a specific playground voice model, or needs high-emotion voice-clone narration.
Use when the user explicitly asks for the Inngest REST API v2, raw HTTP, OpenAPI, API docs, API authentication, or an endpoint that the Inngest CLI does not expose. Covers api-docs.inngest.com, llms.txt, the OpenAPI v2 spec, Bearer authentication with API keys or signing keys, production and local base URLs, raw curl/fetch requests, request-shape discovery, pagination, secret redaction, and when to prefer the `inngest-api-cli` skill instead.
Build explicit learn/do-not-copy contracts for image and video generation references. Use this when a prompt uses benchmark videos, contact sheets, frames, or product images and you need to state exactly what the model should learn, what identity elements must change, and which references should be excluded from the first test.
Extracts YouTube channel metadata, subscriber counts, video counts, and descriptions using apidojo's YouTube Channel Scraper on Apify. Triggers when the user asks to: get YouTube channel information, scrape YouTube channel stats, fetch subscriber count for a YouTube channel, export channel metadata in bulk, find YouTube channels by keyword, get channel descriptions and tags, check if a YouTube channel is verified, or research YouTube channels by niche. Returns channel name, subscriber count, video count, description, verification status, and keywords per channel. Ideal for influencer researchers, competitive analysts, and YouTube marketers.
Benchmarks and compares Instagram influencer engagement rates using apidojo's Instagram scraper on Apify. Triggers when the user asks to: compare engagement rates of Instagram accounts, check if an influencer has real or fake followers, analyze Instagram account performance metrics, benchmark a creator against competitors on Instagram, find Instagram accounts with unusually high or low engagement, verify influencer stats before a paid partnership, or audit an Instagram account's post performance. Returns follower count, average likes, average comments, engagement rate, and recent post performance. Ideal for influencer agencies, brand marketing teams, and campaign performance analysts.
Core dump analysis skill for production crash triage. Use when loading core files in GDB or LLDB, enabling core dump generation on Linux/macOS, mapping symbols with debuginfo or debuginfod, or extracting backtraces from crashes without re-running the program. Activates on queries about core files, ulimit, coredumpctl, debuginfod, crash triage, or analyzing segfaults from production binaries.
Creates a concise one-page solution overview that communicates the proposed approach, key decisions, and trade-offs. Use when pitching solutions to stakeholders, aligning teams on approach, or documenting solution intent before detailed specification.
Discovers and ranks TikTok creators in any niche or topic using apidojo's TikTok scrapers on Apify. Triggers when the user asks to: find TikTok influencers in a specific niche, discover creators for a campaign, identify who's growing fastest on TikTok in a category, find micro-influencers on TikTok under a certain follower count, build a list of TikTok creators for brand partnerships, compare TikTok creator engagement rates in a vertical, or identify rising TikTok stars. Returns creator username, follower count, avg views, engagement rate, bio, and profile URL. Ideal for influencer marketers, brand partnership teams, and talent managers.
ElevenLabs text-to-speech via inference.sh: Eleven v4 and v4 Turbo (newest, most expressive, audio tags, realtime streaming), Eleven v3, Multilingual v2 and Flash v2.5, each as its own app with 22+ premium voices. Capabilities: text-to-speech, realtime text-to-speech streaming, audio tags for emotion and delivery, voice selection, stability control, custom and cloned voices. Use for: voiceovers, audiobooks, video narration, podcasts, voice agents, accessibility, IVR. Triggers: elevenlabs, eleven labs, eleven v4, eleven v4 turbo, eleven v3, elevenlabs tts, premium tts, realtime tts, streaming tts, professional voice, ai voice, high quality tts, multilingual tts, voice generation, natural speech, realistic voice, voice over, speech synthesis
Extracts and analyzes TikTok comments from any video or creator using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: scrape TikTok comments from a video, analyze what viewers say about a TikTok post, extract comment data for sentiment analysis, find top comments on a viral TikTok video, collect TikTok user feedback from comments, build a dataset of TikTok community reactions, study audience sentiment on TikTok content, or research what a target audience cares about from TikTok comments. Returns commenter username, comment text, likes on comment, reply count, and timestamp. Ideal for market researchers, brand managers, content creators, and academic researchers.
Drafts the Introduction prose for a technical paper, guided internally by a six-paragraph flowchart: background and running example, existing limitations, problem essence and goal, key challenges, solution overview, contributions. Positions the paper as Technique or New Problem/Setting, aligns contributions with challenges, and weaves verified citations. Outputs flowing prose by default, or an outline on request. Use when the user asks to draft, outline, or restructure an Introduction.
Serverless vector and raster tiles with PMTiles for MapLibre GL JS — single-file format, HTTP range requests, hosting on S3/R2/GitHub Pages, generating with Planetiler or tippecanoe, and the pmtiles protocol. Use when you need no tile server or want to host tiles from static storage.
NetSuite Intelligence skill — teaches AI the correct tool selection order, output formatting, domain knowledge, multi-subsidiary and currency handling, and SuiteQL safety checklist for any AI + NetSuite AI Service Connector session.
Characters and animation - Humanoid properties/states, spawning (LoadCharacterAsync), health and damage, HumanoidDescription appearance, Animator/AnimationTrack playback, priorities and markers, default animation replacement, Tools, TweenService, IKControl, Character Controller Library (beta). Use when changing movement, abilities, damage, respawn, avatars, animations, tweens, or tools/weapons.
Performance diagnosis and optimization - MicroProfiler, Script Profiler, Developer Console, Scene Analysis, Luau heap and memory categories, memory leaks, network/replication cost, rendering and physics cost, streaming, native codegen, Parallel Luau with Actors. Use when a game lags, stutters, drops FPS, crashes on mobile, has high ping, or before optimizing hot code.
Draw a testable attack surface from one authorized target URL or one application. Use when the user says 攻击面, 供给面, 画攻击面, map the surface, application recon, find the business host, JS inventory, or when the only visible page is login. Derive hosts, APIs, keys, and the object graph from what the app already exposes. Do not open with directory brute or payload spray. Use when the user runs /attack-surface-mapping.
Generate neural narration audio using Azure AI Speech (REST text-to-speech). Use when synthesizing voiceovers or narration in OpenMontage. Optional cloud TTS provider — preferred when AZURE_SPEECH_KEY is configured; the local piper_tts remains the default offline path. Shares one Speech resource with azure_stt.
Discovers pre-launch startups and products on Twitter using apidojo's Twitter Search scraper. Triggers when the user asks to: find pre-launch startups on Twitter, discover companies building in stealth mode on X, find products in beta or waitlist mode on Twitter, identify early-stage startups before they launch publicly, find founders building in public before launch, discover startup waitlists or beta invites on Twitter, or research what new companies are building in a space. Returns startup handle, product description, waitlist/launch signals, stage, and niche. Ideal for VCs scouting early deals, accelerator scouts, and competitive intelligence teams.
Provides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA; formerly Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Managed Airflow environments, scaling Airflow environments, preventing workload restarts, or analyzing system health. Don't use for troubleshooting individual DAG or task run failures, authoring DAGs, or migrating DAGs to newer Airflow versions
Install, troubleshoot, and use Scrapling CLI to extract HTML, Markdown, or text from webpages. Use this skill whenever the user mentions Scrapling, `uv tool install scrapling`, `scrapling extract`, WeChat/mp.weixin articles, browser-backed page fetching, or needs help deciding between static and dynamic extraction.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.